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Machine Learning Engineer, Agentic AI Systems - ServiceNow
ML Engineer
Design and deploy large‑language‑model‑driven agentic AI solutions, building scalable pipelines and inference services that enable natural‑language interaction with enterprise systems.
About the role
Key Responsibilities
- Develop, train, and fine‑tune large language models (LLMs) for agentic AI applications.
- Build end‑to‑end ML pipelines, from data ingestion and preprocessing to model serving and monitoring.
- Design scalable inference architectures on cloud platforms (AWS) using container orchestration and serverless technologies.
- Collaborate with product and engineering teams to integrate AI agents into enterprise workflows, ensuring reliability and low latency.
- Research and prototype novel prompting, retrieval‑augmented generation, and self‑learning techniques to improve task automation.
Requirements
- 5+ years of professional experience in machine learning, with a focus on deep learning and NLP.
- Strong proficiency in Python and ML frameworks such as PyTorch or TensorFlow.
- Hands‑on experience deploying LLMs at scale on cloud environments (AWS, Kubernetes, or serverless).
- Solid understanding of natural language processing, prompt engineering, and retrieval‑augmented generation.
- Track record of delivering production‑grade AI systems that meet performance, security, and reliability standards.
Skills
pythonpytorchtensorflownatural language processingaws